Curing EHR Burnout: The Lifosys DeepListen Approach

If you ask any clinician what the most frustrating part of their job is, the answer is almost unanimously the same: "The Computer." Electronic Health Records (EHR) were designed to improve care, but they have inadvertently turned doctors and nurses into data entry clerks. The phenomenon is so widespread it has a name: "Pajama Time," referring to the hours clinicians spend finishing their charts at home after their shift ends.

At Lifosys, we believe technology should be invisible. It should support the clinical encounter, not distract from it. This philosophy birthed DeepListen, our ambient clinical intelligence solution.

Beyond Dictation: True Ambient Intelligence

Traditional voice-to-text tools are "active"—you have to press a button and speak like a robot: "Patient presents with comma headache period." DeepListen is different. It is an "ambient" system, meaning it runs in the background (with explicit patient consent) and listens to the natural conversation between the provider and the patient.

It utilizes advanced Speaker Diarization to distinguish between the doctor, the patient, and family members. It then employs Clinical Natural Language Understanding (cNLU) to extract relevant medical facts, filtering out small talk about the weather or traffic.

Seamless Integration with Epic & Cerner

The magic happens after the conversation. DeepListen doesn't just produce a transcript; it generates a structured SOAP Note (Subjective, Objective, Assessment, Plan) and maps clinical terms to standard ontologies like SNOMED-CT and ICD-10.

Using HL7 FHIR APIs, these notes are pushed directly into the draft fields of major EHR platforms like Epic, Cerner, and Meditech. The physician simply reviews the draft, makes minor edits, and signs off.

"Since deploying Lifosys DeepListen, our nursing staff has reclaimed an average of 120 minutes per shift. That's two hours they now spend at the bedside comforting patients instead of staring at a screen." — CIO, City General Hospital

Privacy by Design

We understand the sensitivity of recording audio in a clinical setting. That's why DeepListen is built on a "Privacy First" architecture. Audio is processed locally on secure edge devices whenever possible. Once the note is generated, the raw audio file is immediately deleted—it is never stored permanently on our servers. This ensures strict compliance with HIPAA and GDPR requirements while maintaining the trust of patients and providers.